We are thrilled to share the publication of our latest research at inContAlert in collaboration with FIM Research Center for Information Management and the University of Bayreuth. The research paper entitled “How Artificial Intelligence Challenges Tailorable Technology Design” from Pascal Fechner and Dr. Jannik Lockl was published in the renowned journal Business & Information Systems Engineering.
Together with their fellow authors, Prof. Dr. Maximilian Röglinger and Fabian König, the two co-founders of inContAlert explore the impact of Artificial Intelligence (AI) on personalized healthcare. The research highlights how AI, transfer learning in particular, can enhance patient-centered care by tailoring treatment to individual needs. However, the authors argue that existing theories on tailorable technology design do not adequately account for the autonomous learning capabilities of AI. The study investigates this gap through a case study on AI-enabled bladder monitoring systems for patients with neurogenic lower urinary tract dysfunction (NLUTD). The authors propose a revised theory and practical design insights for such systems, emphasizing AI’s potential to improve patient empowerment and personalized care.
This research by Dr. Jannik Lockl and Pascal Fechner opens up new perspectives for the care and support of people with neurogenic bladder dysfunction and once again shows how innovative technologies can improve healthcare.
Read the full article here: https://link.springer.com/content/pdf/10.1007/s12599-024-00872-9.pdf
Keywords: Theory of tailorable technology design, Individualization, Smart wearables, Neurogenic lower urinary tract dysfunction, Bladder monitoring, Deep transfer learning.
